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Experimental design and multiple response optimization. Using the desirability function in analytical methods development

Talanta · 2014 · Vol. 124 · pp. 123–138
Luciana Vera CandiotiMaría M. De ZanMarı́a S. CámaraHéctor C. Goicoechea
Spectroscopy and Chemometric AnalysesStatistical Methods and ApplicationsAdvanced Statistical Methods and ModelsResponse surface methodologyChemistryContext (archaeology)Transformation (genetics)Biological systemFunction (biology)Biochemical engineeringChromatographyBiochemistryEngineering
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References
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Experimental designs and their recent advances in set-up, data interpretation, and analytical applications
Journal of Pharmaceutical and Biomedical Analysis · 2011 · 328 citations
Neural networks in multivariate calibration
The Analyst · 1998 · 459 citations
Experimental design in chemistry: A tutorial
Analytica Chimica Acta · 2009 · 732 citations
Practical Non-Parametric Statistics.
Biometrics · 1981 · 2,410 citations
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Experimental design and multiple response optimization. Using the desirability function in analytical methods development · Scinovex